Agent Experience Engineer

AGENT EXPERIENCE ENGINEER

Firecrawl is looking for a high-agency, product-minded engineer with strong experimental and data instincts to own how agents discover, understand, and use Firecrawl. You'll ship fast, run rigorous A/B tests, and turn what you learn into a better product, for an audience that isn't human.

This is not a pure research or data science role. We want an engineer who brings scientific rigor to product development: forming hypotheses, running experiments, analyzing results, and shipping better agent experiences. Prior agent experience is valuable, but raw engineering ability, shipping velocity, and learning speed matter most.

Salary Range: $235,000–$260,000 USD/year (SF) / $217,000–$233,000 CAD/year (Toronto)

Equity Range: Competitive equity. Details shared during the process.

Location: San Francisco, CA (SF HQ) or Toronto, ON (Toronto Hub). On-site, five days a week.

Job Type: Full-Time

Experience: 5+ years

Work Authorization: Must be authorized to work in the United States or Canada. We're not able to sponsor US visas right now. For Canada, we'll consider sponsorship on a case-by-case basis through our Toronto Hub.

ABOUT FIRECRAWL

Firecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data. It's the boring-hard problem everyone building with LLMs eventually hits, solved.

In September 2026 we raised a $75M Series B led by Smash Capital, and we're spending it building the largest repository of knowledge in the world. We hit 8 figures in ARR in year one and more than doubled it in year two. We have 183k+ GitHub stars, putting us in the top 50 repositories of all time, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.

We're a small team punching far above our weight, working out of SF HQ and our new Toronto Hub. Everyone here owns a real piece of the product and company, end to end, and runs it themselves. No hiding behind process or headcount.

This is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web. That library is called Alexandria, and it starts now.

WHAT YOU'LL DO

- Design and ship A/B tests across agent-facing surfaces (MCPs, CLIs, skills, APIs, documentation) to see how agents actually use Firecrawl

- Turn experiment results into shipped product improvements, fast

- Track emerging agent tools, models, and harnesses (Hermes, OpenClaw, and whatever's next) closely enough to know what they mean for us

- Form hypotheses about how agents discover, interpret, and select tools and capabilities, then test them in production

- Own the problem end to end, from question to shipped answer

- Bring scientific rigor to product development without turning it into a research project

WHAT WE'RE LOOKING FOR

- A track record of shipping high-quality products fast. Not prototypes, not decks

- Comfort designing A/B tests, reading behavioral data, and acting on what it tells you

- Familiarity with agent-facing surfaces: MCPs, CLIs, skills, APIs, documentation

- You actively follow emerging AI tools, models, and harnesses. Hermes, OpenClaw, whatever's next

- Genuine curiosity about how agents select tools, interpret capabilities, and interact with products

- High agency. You can operate independently in a space that doesn't have a playbook yet

- Often an ex-founder, early startup engineer, prolific open-source contributor, or someone with impressive public work

WHAT WE'RE NOT LOOKING FOR

- Someone looking for a pure research or data science role. This is a shipping job first

- Someone who needs a mapped-out roadmap before they can move

- Someone who treats experimentation as …